A5057808954- Flood Risk Assessment and Management
- Cryospheric studies and observations
- Hydrology and Watershed Management Studies
- Geology and Paleoclimatology Research
- Geophysics and Gravity Measurements
- Remote Sensing and LiDAR Applications
- Climate change and permafrost
- Solar and Space Plasma Dynamics
- Groundwater and Isotope Geochemistry
- Arctic and Antarctic ice dynamics
- Climate variability and models
- Geochemistry and Elemental Analysis
- Aquatic Ecosystems and Phytoplankton Dynamics
- Geochemistry and Geologic Mapping
- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Environmental and Agricultural Sciences
- Methane Hydrates and Related Phenomena
- Environmental Quality and Pollution
- Oceanographic and Atmospheric Processes
- Advanced Image Fusion Techniques
- Evaluation Methods in Various Fields
- Heavy metals in environment
- Marine and coastal ecosystems
- GNSS positioning and interference
Zhengzhou University
2019-2024
Yellow River Institute of Hydraulic Research
2024
Institute of Tibetan Plateau Research
2017-2021
Chinese Academy of Sciences
2006-2021
University of Chinese Academy of Sciences
2017
Institute of Geographic Sciences and Natural Resources Research
2006
Accurate lake depth mapping and estimation of changes in water level storage are fundamental significance for understanding the resources on Tibetan Plateau. In this study, combined with satellite images bathymetric data, we comprehensively evaluate accuracy a multi-factor linear regression model (MLR) machine learning models, create distribution map compare it spatial interpolation, estimate change based inverted depth. The results indicated that precision random forest (RF) was highest...
Rapid urban development in China has aggravated land subsidence, which poses a potential threat to sustainable development. It is imperative monitor and predict subsidence over large areas. To address these issues, we chose Henan Province as the study area applied small baseline subset-interferometric synthetic aperture radar (SBAS-InSAR) technology obtain deformation information for monitoring from November 2019 February 2022 with 364 multitrack Sentinel-1A satellite images. The current...
High-accuracy lake bathymetry and mapping are crucial for estimating water storage on the Tibetan Plateau (TP). In this study, we constructed traditional empirical (TE) models machine learning (ML) to compare prediction accuracy remote sensing bathymetric performance by using Sentinel-2 satellite imagery in situ measured depth from Caiduochaka (CK) QiXiang Co central TP. We analyzed relationship between band reflectance explored universality of model different lakes. The results indicated...
Abstract Most lakes of the Tibetan Plateau were experiencing quick expansion in recent decades; a detailed study on changes different supply types will help to understand cause by analysing area change 34 and water level eight north‐western Plateau. All are classified into three types: non‐glacier‐fed lakes, upstream glacier‐fed lakes. The separated glacier‐fed_P1 (quick region) glacier‐fed_P2 (slow region). Combining precipitation, temperature evaporation, less precipitation may be main...
<p indent=0mm>The Tibetan Plateau has many endorheic lakes which are an important part of the Asia Water Tower. In recent decades, warming rate is two times higher than global average, and precipitation also obvious increase. As largest cryosphere system in middle low latitudes, temperature changes have profound impacts on region. Before 1990, caused negative balance lake water storage by suppressing melting water. 1990−2000, increase stoage was promoted After 2000, dominant factor causing...
Water resources are rich on the Tibetan Plateau, with large amounts of glaciers, lakes, and permafrost. Terrestrial water storage (TWS) Plateau has experienced a significant change in recent decades. However, there is lack research about spatial difference between TWSC lake (LWSC), which helpful to understand response climate change. In this study, we estimate TWS, (LWS), soil moisture, permafrost, respectively, according satellite model data during 2005−2013 inner glacial meltwater from...
It is essential to study how obtain precise bathymetric and mapping in inland lakes only from satellite data. In this study, the Ice, Cloud, land Elevation Satellite-2 (ICESat-2) photon point cloud was first denoised by combining manual interaction (MI) density-based spatial clustering of applications with noise (DBSCAN) algorithm QiXiang Co (QXC) Caiduochaka (CK) on Tibetan Plateau (TP). Second, we proposed fit complete profile depth along-track constructed free using a mathematical...
Soil is an important natural resource. The excessive amount of heavy metals in soil can harm and threaten human health. Therefore, monitoring metal content urgent. Monitoring by traditional methods requires many material resources. Remote sensing has shown advantages the field metals. Based on 971 samples Sentinel-2 multi-spectral images Tai Lake, China, we analyzed correlation between six (Cd, Hg, As, Pb, Cu, Zn) spectral factors, selected As Hg as input factors inversion model. coefficient...
Time series of the Gravity Recovery and Climate Experiment (GRACE) satellite mission have been successfully used to reveal changes in terrestrial water storage (TWS) many parts world. This has hindered interior Tibetan Plateau since derived TWS there are very sensitive selections different available GRACE solutions, filters remove north-south-oriented (N-S) stripe features observations. resulted controversial distributions previous studies. In this paper, we produce aggregated hydrology...
The estimation of lake depth and water storage is crucial for resource management in inland waters. In previous studies, required situ bathymetry data; however, the high cost fieldwork prevented extension this method to all lakes. This study aims solve problem by studying how estimate without using bathymetric data. According similarity between topography surrounding underwater topography, we present an approach storage. principle extend terrain into area establish model. study, six lakes...
The Tibetan Plateau (TP) has the largest number of high-altitude glaciers on Earth. As a source major rivers in Asia, this region provides fresh water to more than one billion people. Any terrestrial storage (TWS) changes there have societal effects large parts continent. Due recent acceleration global warming, part environment TP become drastically unbalanced, with an increased risk disasters. We quantified secular and monthly glacier-mass-balance TWS basins from April 2002 December 2021...
青藏高原是地球上最重要的高海拔地区之一，对全球变化具有敏感响应.青藏高原作为亚洲水塔，其地表水资源及其变化对高原本身及周边地区的经济社会发展具有重要的影响.然而，在气候变暖的情况下，构成高原地表水资源的各个组分，如冰川、湖泊、河流、降水等水体的相变及其转化却鲜为人知.湖泊是青藏高原地表水体相变和水循环的关键环节.湖泊面积、水位和水量对西风和印度季风的降水变化非常敏感，但湖泊面积和水量变化在不同区域和时段的响应也不尽相同.湖泊水温对气候变暖具有明显响应，湖泊水温和水下温跃层深度的变化能够对水-气的热量交换具有明显影响，从而影响了区域蒸发和降水等水循环过程.由于湖泊水量增加，高原中部色林错地区湖泊盐度自1970s以来普遍下降.根据60多个湖泊实地监测建立的遥感反演模型研究发现，2000-2019年湖泊透明度普遍升高.对不同补给类型的大湖水量平衡监测发现，影响湖泊变化的气象和水文要素具有较大差异.在目前的暖湿气候条件下，青藏高原的湖泊将会持续扩张.为了深入认识湖泊变化在青藏高原区域水循环和气候变化中的作用，需要全面了解湖泊水量赋存及连续的时间序列变化，需要深入了解湖泊理化参数变化及对湖...
Salt lakes on the Tibetan Plateau (TP) are rich in lithium (Li), boron (B) and other mineral resources, accurate assessment of content spatial distribution brine those salt is important to guide development utilization their resources. There few studies estimating TP due lack situ investigation data. This study introduced an intelligent prediction model combining a feature selection algorithm with machine learning using Sentinel-2 satellite data estimate Li, B, TDS contents Bieruoze Co Guopu...
The variation of lake water storage is an important indicator for studying both climate change and ecological environment changes. Previous studies have mainly focused on the changes in recent decades, predicting future Tibetan Plateau under scenarios remains a crucial gap. We addressed this gap by establishing prediction models nine lakes using historical data from past 29 years next 80 three based Phase 6 Coupled Model Intercomparison Project (CMIP6) data. Quantile-mapping (QM) method was...
Abstract The Tibetan Plateau (TP) is suffering from a substantial decline in terrestrial water storage (TWS) exorheic basins, threatening resources that are critical for ∼2 billion people downstream. TWS changes commonly estimated using gravity satellites through observations of the total mass (TMS) change, with an implicit assumption negligible contribution sediment transport. Through long‐term (2002–2017) flux seven headwater basins on TP, we reveal satellite‐derived TMS has decreased at...